Agent Skills: Subsection Briefs

Subsection Briefs

Build deterministic H3 brief cards from outline + mapping + paper notes.

Compatibility mode is active: this skill keeps the current outline/subsection_briefs.jsonl field contract and paragraph-plan shape while moving phrase/domain logic into references/ and assets/.

Quick Use

• Run scripts/run.py as the deterministic materializer.
• Keep the output NO PROSE: subsection-scoped plans, axes, clusters, and bridge handles only.
• Preserve current downstream compatibility for transition-weaver, writer-context-pack, and subsection-writer.

Load Order

Always read:

• references/overview.md

Read by task:

• If thesis feels repetitive or copyable, read references/thesis_patterns.md.
• If tension_statement is too generic, read references/tension_patterns.md.
• If axes are weak or domain-biased, read references/axis_catalog_generic.md and references/axis_catalog_llm_agents.md.
• If transition handles feel bland, read references/bridge_terms.md.
• For calibration, read references/examples_good.md.

Machine-readable assets:

• assets/phrase_packs/thesis_patterns.json
• assets/phrase_packs/bridge_contrast.json
• assets/domain_packs/generic.json
• assets/domain_packs/llm_agents.json
• assets/domain_packs/embodied_ai.json
• assets/domain_packs/text_to_image.json

The script loads these packs first; patch them before changing Python when the issue is phrasing, domain routing, axis inventory, cluster purity, or lexical bridge coverage.

Inputs

• outline/outline.yml
• outline/mapping.tsv
• papers/paper_notes.jsonl
• Optional: GOAL.md
• Optional: outline/claim_evidence_matrix.md

Output

• outline/subsection_briefs.jsonl

Required record shape remains compatibility-preserving:

• identity: sub_id, title, section_id, section_title
• planning core: rq, thesis, scope_rule, axes, bridge_terms, contrast_hook, tension_statement
• evidence hooks: evaluation_anchor_minimal, required_evidence_fields, clusters
• execution plan: paragraph_plan, evidence_level_summary, generated_at

What run.py Should Do

• Read outline, mapping, and notes.
• Normalize subsection seeds from outline bullets.
• Load thesis/tension/domain-axis packs from assets/.
• Produce stable JSONL records with the existing contract.

What run.py Should Not Do

• Do not invent papers, citations, or claims.
• Do not emit reader-facing narrative prose.
• Do not hardcode domain-specific sentence templates when an asset pack can hold them.

Block / Reroute

• If outline, mapping, or notes are missing, stop.
• If evidence is thin, keep thesis/tension_statement conservative and let downstream evidence skills strengthen the subsection.
• If contrast clusters collapse into overlapping paper pools, reroute before writing: after removing bridge papers, each side should still retain at least 2 unique papers.
• Use bridge_terms to surface concrete lexical handles that later evidence/ranking stages can still match (OOD, sim-to-real, world model, failure detector, specific benchmark families), not only generic axis names.
• Prefer domain-pack cluster_rules over ad-hoc bootstrap overlaps when the mapped set is already large enough to support disjoint clusters.
• Do not “fix” thin evidence by inventing more specific axes or stronger claims.

Execution notes

When running in compatibility mode, scripts/run.py currently reads:

• outline/outline.yml for section/subsection structure
• outline/mapping.tsv for paper-to-subsection coverage
• papers/paper_notes.jsonl for structured evidence
• GOAL.md for topic/domain cues
• outline/claim_evidence_matrix.md as optional supporting context when present

Script

Quick Start

• python .codex/skills/subsection-briefs/scripts/run.py --workspace <workspace_dir>

All Options

• --workspace <dir>
• --unit-id <id>
• --inputs <a;b;...>
• --outputs <a;b;...>
• --checkpoint <C*>

Examples

• python .codex/skills/subsection-briefs/scripts/run.py --workspace workspaces/<ws>

Troubleshooting

• If the wrong domain pack is selected, inspect GOAL.md and the asset packs before changing the script.
• If briefs sound too generic, adjust the phrase/domain packs instead of adding more Python prose.
• If papers/paper_notes.jsonl is thin, reroute to note extraction rather than inventing axes.